Instructions to use elikoy/storyboard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use elikoy/storyboard with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("elikoy/storyboard") prompt = "storyboard sketch of a woman " image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
storyboard

- Prompt
- storyboard sketch of a woman
Model description
Storyboard Sketch LoRA
If anyone is looking for something a little different, I trained a LoRA on storyboard sketches.
Trigger Words: storyboard sketch of
Strength of 1.0: Strongest styling, less coherence and prompt faithfulness Strength of 0.8: Good styling, medium coherence and prompt faithfulness Strength of 0.5: Standard sketch styling, best coherence and prompt faithfulness
Trigger words
You should use storyboard sketch of to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for elikoy/storyboard
Base model
black-forest-labs/FLUX.1-dev